Anjuum Khanna - What is Machine Learning

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Anjuum Khanna- This learning process starts with data or observations (stated and observed), which we can provide in terms of examples or instruction. This learning can also be gathered through direct experience. Primary aim of machine learning is to allow computers to learn automatically without any human intervention or assistance. Machines should also adjust their actions accordingly.

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Machine Learning

Anjuum Khanna, India


I, Anjuum Khanna, would give some insights on what Machine

Learning.

In simpler words machine learning is an application of

artificial intelligence that enables the system to learn

automatically and the best part of this application is you

don’t need to program explicitly.

● Anjum Khanna also defines it in a different way that it

focuses on the development of computer programs that can

access relevant data and use it learn for themselves.


This learning process starts with data or observations (stated and

observed), which we can provide in terms of examples or instruction.

This learning can also be gathered through direct experience.

Primary aim of machine learning is to allow computers to learn

automatically without any human intervention or assistance.

Machines should also adjust their actions accordingly.


As per author’s definition we can also say that machine learning is

subfield of AI.

We can see many examples of machine learning such as Siri, Netflix,

Google maps, Uber etc. This can tell that how machine learning has

upgraded our living

We can learn more about it by knowing more about machine

learning methods. .


Supervised Machine Learning

It is called supervised learning because the process of an algorithm

learning from the training dataset can be thought of as a teacher is

supervising learning process.

We know the correct answers, the algorithm makes predictions on the

basis of training data and it gets corrected by the teacher.

Learning stops when the algorithm achieves an acceptable level in terms

of performance.


Unsupervised Machine Learning

This type of machine learning is more closely aligned with artificial

intelligence.

On further analysis we can say that in this kind of machine learning a

computer can learn to identify complex processes and patterns

without a human guidance.

Although unsupervised learning is prohibitively complex for some

simpler enterprise use cases, but it is more effective while we need

to solve problems that humans normally find difficult to tackle.


Machine Learning- Usage In Applications

● In next few years, machine learning will become part of almost

every software application. Soon all of our devices will be embed

with capabilities of machine learning.

After that our personal device will become personalised device.


Machine Learning- Usage In Service Industry

As machine learning becomes increasingly valuable and the technology

matures, more businesses will start using the cloud to offer machine learning

as a service.

This will allow a wider range of organizations to take advantage of machine

learning without making large hardware investments or training their own

algorithms.

● As in cutting throat competition personalised service is required in service

industry and machine learning will resolve that issue.


About Me!!!!

I’am Anjuum Khanna. I’am an Indian Blogger, Writer and Tech Consultant.

A strategic leader with a proven track record of over 19 years in

spearheading profitable ventures within Fintech, eCom Startups, BPOs,

Telecom & D2H, spearheaded domestic & Global Business Operations

with large team sizes. Championed change mngt. & enterprise wise

automation initiatives within organisations in India & Middle East.

Presently working as Vice President at Mswipe Technologies.

Visit Me: http://anjuumkhanna.in/


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